Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions

Autores
Tello Alonso, Héctor Alfredo; Rubiolo, Amelia Catalina; Zorrilla, Susana
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Immersion chilling and freezing (ICF) consist of soaking foods in a low freezing point liquid medium maintained at a low temperature that are considered secondary refrigerants. Data related to transport properties for the refrigerating media used in ICF processes are scarce, particularly for ternary and higher order systems. The objective of this work was to develop a model for the prediction of diffusion coefficients for systems of interest for ICF processes. The generalized Maxwell–Stefan equations were used in the model development. Data obtained from literature corresponding to Fick diffusion coefficients of the binary systems NaCl–H2O and KCl–H2O, and the ternary system NaCl–KCl–H2O, were compared with predicted values. Results were satisfactory, errors of the main diffusion coefficients less than 13.5% being obtained. These results may be extended to the typical range of conditions of ICF, where no data are available in literature to date.
Fil: Tello Alonso, Héctor Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Rubiolo, Amelia Catalina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Zorrilla, Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
Diffusion Coefficient
Maxwell-Stefan
Multicomponent Solutions
Refrigerating Liquids
Foods
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/18821
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/18821
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutionsTello Alonso, Héctor AlfredoRubiolo, Amelia CatalinaZorrilla, SusanaDiffusion CoefficientMaxwell-StefanMulticomponent SolutionsRefrigerating LiquidsFoodshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Immersion chilling and freezing (ICF) consist of soaking foods in a low freezing point liquid medium maintained at a low temperature that are considered secondary refrigerants. Data related to transport properties for the refrigerating media used in ICF processes are scarce, particularly for ternary and higher order systems. The objective of this work was to develop a model for the prediction of diffusion coefficients for systems of interest for ICF processes. The generalized Maxwell–Stefan equations were used in the model development. Data obtained from literature corresponding to Fick diffusion coefficients of the binary systems NaCl–H2O and KCl–H2O, and the ternary system NaCl–KCl–H2O, were compared with predicted values. Results were satisfactory, errors of the main diffusion coefficients less than 13.5% being obtained. These results may be extended to the typical range of conditions of ICF, where no data are available in literature to date.Fil: Tello Alonso, Héctor Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Rubiolo, Amelia Catalina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Zorrilla, Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaElsevier2012-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/18821Tello Alonso, Héctor Alfredo; Rubiolo, Amelia Catalina; Zorrilla, Susana; Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions; Elsevier; Journal Of Food Engineering; 109; 3; 4-2012; 490-4950260-8774CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jfoodeng.2011.10.034info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S026087741100584X?via%3Dihubinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:03:51Zoai:ri.conicet.gov.ar:11336/18821instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:03:51.71CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
title Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
spellingShingle Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
Tello Alonso, Héctor Alfredo
Diffusion Coefficient
Maxwell-Stefan
Multicomponent Solutions
Refrigerating Liquids
Foods
title_short Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
title_full Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
title_fullStr Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
title_full_unstemmed Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
title_sort Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
dc.creator.none.fl_str_mv Tello Alonso, Héctor Alfredo
Rubiolo, Amelia Catalina
Zorrilla, Susana
author Tello Alonso, Héctor Alfredo
author_facet Tello Alonso, Héctor Alfredo
Rubiolo, Amelia Catalina
Zorrilla, Susana
author_role author
author2 Rubiolo, Amelia Catalina
Zorrilla, Susana
author2_role author
author
dc.subject.none.fl_str_mv Diffusion Coefficient
Maxwell-Stefan
Multicomponent Solutions
Refrigerating Liquids
Foods
topic Diffusion Coefficient
Maxwell-Stefan
Multicomponent Solutions
Refrigerating Liquids
Foods
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Immersion chilling and freezing (ICF) consist of soaking foods in a low freezing point liquid medium maintained at a low temperature that are considered secondary refrigerants. Data related to transport properties for the refrigerating media used in ICF processes are scarce, particularly for ternary and higher order systems. The objective of this work was to develop a model for the prediction of diffusion coefficients for systems of interest for ICF processes. The generalized Maxwell–Stefan equations were used in the model development. Data obtained from literature corresponding to Fick diffusion coefficients of the binary systems NaCl–H2O and KCl–H2O, and the ternary system NaCl–KCl–H2O, were compared with predicted values. Results were satisfactory, errors of the main diffusion coefficients less than 13.5% being obtained. These results may be extended to the typical range of conditions of ICF, where no data are available in literature to date.
Fil: Tello Alonso, Héctor Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Rubiolo, Amelia Catalina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Zorrilla, Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description Immersion chilling and freezing (ICF) consist of soaking foods in a low freezing point liquid medium maintained at a low temperature that are considered secondary refrigerants. Data related to transport properties for the refrigerating media used in ICF processes are scarce, particularly for ternary and higher order systems. The objective of this work was to develop a model for the prediction of diffusion coefficients for systems of interest for ICF processes. The generalized Maxwell–Stefan equations were used in the model development. Data obtained from literature corresponding to Fick diffusion coefficients of the binary systems NaCl–H2O and KCl–H2O, and the ternary system NaCl–KCl–H2O, were compared with predicted values. Results were satisfactory, errors of the main diffusion coefficients less than 13.5% being obtained. These results may be extended to the typical range of conditions of ICF, where no data are available in literature to date.
publishDate 2012
dc.date.none.fl_str_mv 2012-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/18821
Tello Alonso, Héctor Alfredo; Rubiolo, Amelia Catalina; Zorrilla, Susana; Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions; Elsevier; Journal Of Food Engineering; 109; 3; 4-2012; 490-495
0260-8774
CONICET Digital
CONICET
url http://hdl.handle.net/11336/18821
identifier_str_mv Tello Alonso, Héctor Alfredo; Rubiolo, Amelia Catalina; Zorrilla, Susana; Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions; Elsevier; Journal Of Food Engineering; 109; 3; 4-2012; 490-495
0260-8774
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jfoodeng.2011.10.034
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S026087741100584X?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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